Nvidia
Healthcare
LeadEngineer,HealthcareDataOperationsandStrategy
“Lead Engineer, Healthcare Data Operations and Strategy at Nvidia. Skills: Healthcare data operations, Healthcare data strategy, MLOps platform architecture and development, Data governance, Cross-functional collaboration. Define a portfolio strategy and selection methodology for NVIDIA's healthcare data programs. Prioritize modalities, clinical domains, and partner cohorts”
What You'll Achieve.
Make each program a durable, growing asset; Ensure data programs are sequenced and crafted to feed the highest-priority needs; Meet the regulatory and compliance expectations of global clinical partners; Launch publicly released, commercially usable healthcare datasets
Industry & Context.
Clear point of view on when to build versus integrate
What They're Looking For.
Must Have
12+ years working with healthcare data — building datasets, running data programs, or leading MLOps workflows in a healthcare or medtech setting, technical proficiency across the healthcare data lifecycle: ingestion, curation, annotation, de-identification, governance (HIPAA, GDPR, IRB workflows), and serving for training and evaluation, Hands-on experience with MLOps tooling — data lakes/lakehouses, dataset versioning (e.g., Hugging Face Datasets, LakeFS, DVC), workflow orchestration, validation frameworks — and a clear point of view on when to build versus integrate, Familiarity operating at the intersection of strategy, partnerships, and engineering — able to set portfolio direction one day and review schema choices or pipeline architectures the next, BS or higher in Computer Science, Biomedical Engineering, Computational Biology, or a related technical field, or equivalent experience
Nice to Have
Direct healthcare industry experience — including familiarity with how device data is generated, retained, and released, Track record of launching publicly released, commercially usable healthcare datasets, Experience standing up data infrastructure for foundation model training, including multi-modal sensor data, Deep relationships across the global clinical AI community (MedTech or biopharma), and a history of converting those relationships into shipped artifacts, Familiarity with NVIDIA platforms relevant to healthcare AI — Holoscan, BioNeMo, Cosmos, Isaac, NeMo Data Designer, or Omniverse
What You'll Do.
Define a portfolio strategy and selection methodology for NVIDIA's healthcare data programs
Prioritize modalities
Drive the tactical execution of new healthcare data collaborations end-to-end
Architect and build our healthcare data MLOps platform
Partner directly with NVIDIA healthcare and model training teams
Establish data quality
and governance standards
How You'll Work.
Team & Collaboration
Collaborate with community partners; Connect leading clinicians, academic researchers, medtech industry partners, and NVIDIA's engineering and product teams; Partner directly with NVIDIA healthcare and model training teams; Partner with key collaborators
Process & Methodology
Prioritizing, Release planning
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